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Nov. 2022
Submitted Papers : 80
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Paper Published : 1391
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  Journal Paper


Paper Title :
Global Asymptotic Robust Stability of Dynamical Neural Networks with Constant Time Delays

Author :Sabri Arik

Article Citation :Sabri Arik , (2018 ) " Global Asymptotic Robust Stability of Dynamical Neural Networks with Constant Time Delays " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 1-5, Volume-6, Issue-4

Abstract : This paper deals with the problem of global asymptotic robust stability of continuous-time neural networks with constant time delays. By employing the Lyapunov stability theorems and using some basic properties of the interval matrices, we derive a new delay independent sufficient condition for the uniqueness and global robust asymptotic stability of the equilibrium point for delayed neural networks. The obtained result can be easily verified and it is only dependent on the network parameters of neural system. Keywords- Robust Stability Analysis, Neural Networks, Lyapunov Stability Theorems.

Type : Research paper

Published : Volume-6, Issue-4


DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-11729   View Here

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